[FreeCoursesOnline.Me] PacktPub - Hands-On Machine Learning for dotNET Developers
0. Websites you may like/How you can help our Group!.txt 208 B 1.Finding the Best Price on Laptops Using Price Prediction (Regression)/01.The Course Overview.mp4 9.4 MB 1.Finding the Best Price on Laptops Using Price Prediction (Regression)/02.Demo of the Application and How to Apply Machine Learning.mp4 12.3 MB 1.Finding the Best Price on Laptops Using Price Prediction (Regression)/03.Installing the ML.NET Model Builder.mp4 6.7 MB 1.Finding the Best Price on Laptops Using Price Prediction (Regression)/04.Automatically Generate a Model with the ML.NET Model Builder.mp4 7.5 MB 1.Finding the Best Price on Laptops Using Price Prediction (Regression)/05.Using the Final Model in the Desktop Application.mp4 16 MB 1.Finding the Best Price on Laptops Using Price Prediction (Regression)/06.Generating the Model Using the ML.NET CLI Tool.mp4 7 MB 2.Determining Aggression in User Comments/07.Demo of the Web API and the Wikipedia Aggression Dataset.mp4 6.9 MB 2.Determining Aggression in User Comments/08.Digging into the Code Learn What a Training Pipeline Is.mp4 14.7 MB 2.Determining Aggression in User Comments/09.Implementing a Pipeline for the Aggression Scorer.mp4 17.9 MB 2.Determining Aggression in User Comments/10.Using the Custom Model in the Web API.mp4 21.6 MB 3.Evaluating, Improving, and Retraining Your Model/11.Evaluating Your Model.mp4 17.5 MB 3.Evaluating, Improving, and Retraining Your Model/12.Splitting the Data into Training and Test Sets.mp4 7.5 MB 3.Evaluating, Improving, and Retraining Your Model/13.Retraining the Model with More Data.mp4 18.5 MB 3.Evaluating, Improving, and Retraining Your Model/14.Evaluating with Cross-Validation.mp4 16 MB 4.Classifying News into Subjects/15.Multiclass Classification and the UCI News Dataset.mp4 11.7 MB 4.Classifying News into Subjects/16.Using AutoML to Find a Suitable Model.mp4 12.3 MB 4.Classifying News into Subjects/17.Building the Pipeline and Evaluating the Performance.mp4 13 MB 4.Classifying News into Subjects/18.Explore the Effect of Imbalanced Data on the Metrics.mp4 15.4 MB 5.Building a Recommender System/19.The Restaurant Recommender.mp4 7.9 MB 5.Building a Recommender System/20.Building the Restaurant Recommendation Model.mp4 11.2 MB 5.Building a Recommender System/21.Exploring Hyper Parameters to Improve the Accuracy.mp4 42 MB 6.Classifying Images Using TensorFlow 'Transfer Learning'/22.Image Classification and Our Dataset.mp4 5.9 MB 6.Classifying Images Using TensorFlow 'Transfer Learning'/23.Deep Learning and Transferring Learnings from TensorFlow.mp4 15.3 MB 6.Classifying Images Using TensorFlow 'Transfer Learning'/24.Training the Custom Image Classification Model.mp4 21.4 MB 6.Classifying Images Using TensorFlow 'Transfer Learning'/25.Using the Trained Model in the Desktop Application.mp4 9.5 MB 6.Classifying Images Using TensorFlow 'Transfer Learning'/26.Speeding Up Model Training Using the GPU.mp4 24 MB 7.Detecting Facial Expressions in Your Webcam with a Pre-Trained ONNX Model/27.What ONNX Is.mp4 6.2 MB 7.Detecting Facial Expressions in Your Webcam with a Pre-Trained ONNX Model/28.The FER+ ONNX Model.mp4 16.8 MB 7.Detecting Facial Expressions in Your Webcam with a Pre-Trained ONNX Model/29.Creating Our ONNX Pipeline.mp4 12.9 MB 7.Detecting Facial Expressions in Your Webcam with a Pre-Trained ONNX Model/30.Detecting Emotions in Images and Webcam.mp4 21.6 MB 7.Detecting Facial Expressions in Your Webcam with a Pre-Trained ONNX Model/31.Saving a ML.NET Model in ONNX Format.mp4 9.7 MB Exercise Files/9781800205024_Code/SourceCode.zip 1.2 GB